Sep 23–26, 2019
Nagendra Shishodia

Nagendra Shishodia
Head Analytics Products, EXL

Nagendra leads the Analytics Product Development initiative for EXL.  He has over 17 years of experience in developing advanced analytics solutions across business functions.  His focus has been on developing solutions that enable better decision making through the use of Machine Learning, Natural Language Processing and Big Data technologies.  Nagendra consults with senior executives of global firms across industry – including healthcare, insurance, banking, retail, and travel.  Nagendra holds an MS degree from Purdue University, IN and a B.Tech. from IIT Bombay.  At EXL, Nagendra has written thought leadership articles on healthcare clinical solutions and AI.


1:15pm1:55pm Wednesday, September 25, 2019
Location: 1A 06/07
Secondary topics:  Deep Learning, Financial Services, Health and Medicine
Nagendra Shishodia (EXL), Chaithanya Manda (EXL Service), Solmaz Torabi (EXL Service)
Every NLP based document processing solution depends on converting scanned documents/ images to machine readable text using an OCR solution. However, accuracy of OCR solutions is limited by quality of scanned images. We show that generative adversarial networks can be used to bring significant efficiencies in any document processing solution by enhancing resolution and de-noising scanned images. Read more.

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